Remove 2022 Remove Data Governance Remove Metadata
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Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

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AWS Lake Formation 2022 year in review

AWS Big Data

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value. In the rest of this post, we are happy to share the progress we made in 2022.

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Pillars of Knowledge, Best Practices for Data Governance

Cloudera

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. But it’s still not easy. But it’s still not easy.

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The importance of governance: What we’re learning from AI advances in 2022

IBM Big Data Hub

We recently launched IBM AI Governance , a solution designed to help companies get a better understanding of what’s going on below the surface of these systems. 2022 has been another big year for AI with increasing adoption across the industry as well as promising new advancements.

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Collibra Provides a Platform for Data Intelligence

David Menninger's Analyst Perspectives

I assert that through 2027, three-quarters of enterprises will be engaged in data intelligence initiatives to increase trust in their data by leveraging metadata to understand how, when and where data is used in their organization, and by whom.

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IBM named a leader in the 2022 Gartner® Magic Quadrant™ for Data Integration Tools

IBM Big Data Hub

Whether it be batch (ETL or ELT), virtualization, replication, data preparation, real-time or event driven, you need flexible and augmented data pipelines to create and deliver data processes across your organization. Remote runtime data integration as-a-service execution capabilities for on-premises and multi-cloud execution.

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Maximize your data dividends with active metadata

IBM Big Data Hub

Metadata management performs a critical role within the modern data management stack. It helps blur data silos, and empowers data and analytics teams to better understand the context and quality of data. This, in turn, builds trust in data and the decision-making to follow. Improve data discovery.